Senior Data Engineer, Enterprise Data Platform & AI

Zoominfo; Greater London; Presencial; GBP 110.000 - 150.000; Jornada completa

Descripción de la vacante

ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team in London. You will design and scale enterprise data infrastructure, building high-performance data pipelines and a single source of truth for customer data using Snowflake, Airflow, and DBT.

Collaborating with ML engineers, data scientists, and product teams, you will own production systems, contribute to on-call incident response, and help define data architecture, quality, and cost strategies across the

Formación

• 8+ years in data engineering with leadership impact.
• Experience building scalable data infrastructure for data-centric products.
• Proven on-call incident response and production systems ownership.
• Strong collaboration with ML, data science, and product teams.

Responsabilidades

• Design, develop, and maintain high-performance data pipelines with Airflow, DBT, and Python.
• Architect and optimize Snowflake-based data warehouse and lakehouse as source of truth.
• Integrate diverse data sources (web data, third-party APIs) with quality controls.
• Define roadmap priorities aligned with internal consumer needs and AI readiness.
• Mentor engineers and contribute to architecture decisions and runbooks.
• Participate in on-call rotation, perform root-cause analysis, and drive remediation.

Conocimientos

SQL

Python

Airflow

DBT

Snowflake

On-call rotations

Educación

Bachelor's or Master's degree in Computer Science or Engineering

Herramientas

Datadog

Monte Carlo

Grafana

Kafka

Terraform

PagerDuty

Opsgenie

Descripción del empleo

ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team in London. You will design and scale enterprise data infrastructure, building high-performance data pipelines and a single source of truth for customer data using Snowflake, Airflow, and DBT.

Collaborating with ML engineers, data scientists, and product teams, you will own production systems, contribute to on-call incident response, and help define data architecture, quality, and cost strategies across the